Tina Khadem
- Infectious Diseases
- Pharmacology
- Applied Microbiology and Biotechnology top 5%
- Clinical Biochemistry top 10%
- Epidemiology
- Co-authors
- Jack BrownChristine M. GrothNicole M. AcquistoDebra A. GoffKarri A. BauerJ Ryan BariolaVanessa StevensElizabeth Dodds Ashley
- Topics
- Antibiotic Use and Resistance (9 papers)Bacterial Identification and Susceptibility Testing (5 papers)Antimicrobial Resistance in Staphylococcus (4 papers)
- Cited by
- Applied Microbiology and BiotechnologyClinical BiochemistryAnesthesiology and Pain Medicine
- Journals
- SHILAP Revista de lepidopterologíaCritical Care MedicineInfection Control and Hospital Epidemiology
- Partner nations
- United States
In The Last Decade
Tina Khadem
23 papers receiving 247 citations
Peers
Comparison fields: 5 of 68
- Infectious Diseases 95
- Pharmacology 65
- Applied Microbiology and Biotechnology 52
- Clinical Biochemistry 52
- Epidemiology 49
Countries citing papers authored by Tina Khadem
This map shows the geographic impact of Tina Khadem's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tina Khadem with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tina Khadem more than expected).
Fields of papers citing papers by Tina Khadem
This network shows the impact of papers produced by Tina Khadem. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tina Khadem. The network helps show where Tina Khadem may publish in the future.
Co-authorship network of co-authors of Tina Khadem
This figure shows the co-authorship network connecting the top 25 collaborators of Tina Khadem. A scholar is included among the top collaborators of Tina Khadem based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Tina Khadem. Tina Khadem is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 1 | |
| 2 | 4 | |
| 3 | 7 | |
| 4 | 1 | |
| 5 | 7 | |
| 6 | 8 | |
| 7 | 1 | |
| 8 | 8 | |
| 9 | 1 | |
| 10 | 42 | |
| 11 | 8 | |
| 12 | 13 | |
| 13 | 1 | |
| 14 | 1 | |
| 15 | 6 | |
| 16 | 7 | |
| 17 | 11 | |
| 18 | 55 | |
| 19 | 34 | |
| 20 | 22 |
About Tina Khadem
Tina Khadem is a scholar working on Applied Microbiology and Biotechnology, Clinical Biochemistry and Toxicology, having authored 25 papers that have together received 258 indexed citations. Recurring topics across this work include Antibiotic Use and Resistance (9 papers), Bacterial Identification and Susceptibility Testing (5 papers) and Antimicrobial Resistance in Staphylococcus (4 papers). The work is most often cited by research in Applied Microbiology and Biotechnology (52 citations), Clinical Biochemistry (52 citations) and Anesthesiology and Pain Medicine (42 citations). Tina Khadem has collaborated with scholars based in United States. Frequent co-authors include Jack Brown, Christine M. Groth, Nicole M. Acquisto, Debra A. Goff, Karri A. Bauer, J Ryan Bariola, Vanessa Stevens, Elizabeth Dodds Ashley, Katherine M. Juba and M. Hong Nguyen. Their work appears in journals such as SHILAP Revista de lepidopterología, Critical Care Medicine and Infection Control and Hospital Epidemiology.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.